{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "72a02c6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "daeae7d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([-0.4965, -0.4144,  0.7133,  1.4242, -2.3240,  1.8746, -0.8787,  0.6632,\n",
       "         1.0528,  1.2189, -1.0078, -1.1268,  0.0209, -0.3677, -1.7282, -0.5620,\n",
       "         0.4873,  1.3804, -0.3376, -1.1708, -0.8566,  1.9156, -0.7044, -3.0865,\n",
       "         0.9736, -2.0688, -1.3502, -1.6590, -0.1672,  0.4842,  0.1759,  0.4400,\n",
       "        -0.2433, -0.6476, -0.6779, -0.6046, -0.6267, -1.4280,  0.4260,  1.5562,\n",
       "        -0.3000, -0.1302,  0.0611,  0.6414,  1.2246, -0.9256, -1.8446,  0.3419,\n",
       "        -0.5944,  1.0603,  0.8864,  0.0978,  0.9400, -0.3706, -0.1008,  0.4192,\n",
       "         1.1743, -0.3839, -0.8320,  0.7621, -1.3086,  0.5961, -0.4739, -0.0869,\n",
       "         0.2282,  0.3089, -0.3642, -0.2993,  1.1387, -1.2709, -1.3184,  0.5129,\n",
       "         1.1869, -0.8602, -0.2760, -0.4085,  1.4462,  1.6844,  1.0614, -1.0466,\n",
       "        -0.9933, -1.3557, -0.1972, -2.1354,  0.6601, -1.2258, -1.5018, -0.0133,\n",
       "         1.5358,  1.1606, -1.7302,  0.1980,  1.3101, -2.1112, -0.4113, -0.5292,\n",
       "         1.3532,  0.6019,  0.5399,  0.2755])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.randn(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "788e66cf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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